Best Data Classification Software for Amazon Web Services (AWS)
View:
Compare the Top Data Classification Software that integrates with Amazon Web Services (AWS) as of June 2025
Sort By:
This a list of Data Classification software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.
What is Data Classification Software for Amazon Web Services (AWS)?
Data classification software is designed to help businesses and organizations organize digital information. It is often used to classify large amounts of data into various categories or labels in order to make the information easier to search for and manage. The software usually works by employing machine-learning algorithms to automatically analyze a dataset, determine meaningful patterns within it, and place the data into predefined categories. These categories can then be organized more efficiently, enabling improved searching capabilities and streamlined workflows. Compare and read user reviews of the best Data Classification software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.
-
1
Dasera
Dasera
Dasera is a Data Security Posture Management (DSPM) platform providing automated security and governance controls for structured and unstructured data across cloud and on-prem environments. Uniquely, Dasera monitors data in use while offering continuous visibility and automated remediation, preventing data breaches across the entire data lifecycle. Dasera provides continuous visibility, risk detection, and mitigation to align with business goals while ensuring seamless integration, unmatched security, and regulatory compliance. Through its deep understanding of the four data variables - data infrastructure, data attributes, data users, and data usage - Dasera promotes a secure data-driven growth strategy that minimizes risk and maximizes value, giving businesses a competitive edge in today's rapidly evolving digital landscape.Starting Price: 3 data stores at $20,000 -
2
Protegrity
Protegrity
Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making. -
3
Keito Kapture
Keito
Unique solutions for your organization through a personalized process. Turning nightmares into sweet dreams, from complex manual paperwork to intelligent document processing machine. Robotizing business processes with advanced AI. Kapture is a cloud-based self-service for enterprise-grade form extraction platform. Using AI based OCR for a human intense activity like automating the data classification and data extraction for various industries. We handle forms and images of various formats and sizes from your pngs, tiff, pdf, docx, doc etc. A classifier is an engine that can be created under Kapture, for segregating your various types of documents. Differentiating your invoices from your kyc, loan document and so on. The bulk of composite data can be split and segregated into its respective classifier folder for further processing. Extractor captures specific values which are critical from your forms and printed content at 80% automation. -
4
Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
5
Nightfall
Nightfall
Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API. -
6
NVISIONx
NVISIONx
NVISIONx data risk Intelligence platform enables companies to gain control of their enterprise data to reduce data risks, compliance scopes, and storage costs. Data is growing out of control and getting worse every day. Business and security leaders are overwhelmed and can’t protect what they don’t know. More controls won’t fix the problem. Rich and unlimited analysis to support over 150 business use cases to empower data owners and cyber professionals to proactively manage their data from cradle to grave. First, categorize or group data that is redundant, outdated, or trivial (ROT) and see what data can be defensibly disposed of to reduce the classification scope (and storage costs). Then, contextually classify all remaining data using a number of easy-to-use data analytics techniques to enable the data owner to be their own data analyst! Data identified as useless and unwanted can then go through legal and records retention reviews. -
7
Amazon SageMaker JumpStart
Amazon
Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can access built-in algorithms with pretrained models from model hubs, pretrained foundation models to help you perform tasks such as article summarization and image generation, and prebuilt solutions to solve common use cases. In addition, you can share ML artifacts, including ML models and notebooks, within your organization to accelerate ML model building and deployment. SageMaker JumpStart provides hundreds of built-in algorithms with pretrained models from model hubs, including TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. You can also access built-in algorithms using the SageMaker Python SDK. Built-in algorithms cover common ML tasks, such as data classifications (image, text, tabular) and sentiment analysis. -
8
ZinkML
ZinkML Technologies
ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.
- Previous
- You're on page 1
- Next
